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TIL
  • MAIN
  • : TIL?
  • : WIL
  • : Plan
  • : Retrospective
  • TIL : ML
    • Paper Analysis
    • Boostcamp 2st
      • [S]Data Viz
      • [P]MRC
      • [P]KLUE
      • [U]Stage-CV
      • [U]Stage-NLP
        • 7W Retrospective
        • (10๊ฐ•) Advanced Self-supervised Pre-training Models
        • (09๊ฐ•) Self-supervised Pre-training Models
        • (08๊ฐ•) Transformer (2)
        • (07๊ฐ•) Transformer (1)
        • 6W Retrospective
        • (06๊ฐ•) Beam Search and BLEU score
        • (05๊ฐ•) Sequence to Sequence with Attention
        • (04๊ฐ•) LSTM and GRU
        • (03๊ฐ•) Recurrent Neural Network and Language Modeling
        • (02๊ฐ•) Word Embedding
        • (01๊ฐ•) Intro to NLP, Bag-of-Words
        • [ํ•„์ˆ˜ ๊ณผ์ œ 4] Preprocessing for NMT Model
        • [ํ•„์ˆ˜ ๊ณผ์ œ 3] Subword-level Language Model
        • [ํ•„์ˆ˜ ๊ณผ์ œ2] RNN-based Language Model
        • [์„ ํƒ ๊ณผ์ œ] BERT Fine-tuning with transformers
        • [ํ•„์ˆ˜ ๊ณผ์ œ] Data Preprocessing
      • Mask Wear Image Classification
      • [P]Stage-1
      • [U]Stage-3
      • [U]Stage-2
      • [U]Stage-1
    • ๋”ฅ๋Ÿฌ๋‹ CNN ์™„๋ฒฝ ๊ฐ€์ด๋“œ - Fundamental ํŽธ
    • AI School 1st
    • ํ˜„์—… ์‹ค๋ฌด์ž์—๊ฒŒ ๋ฐฐ์šฐ๋Š” Kaggle ๋จธ์‹ ๋Ÿฌ๋‹ ์ž…๋ฌธ
    • ํŒŒ์ด์ฌ ๋”ฅ๋Ÿฌ๋‹ ํŒŒ์ดํ† ์น˜
  • TIL : Python & Math
    • Do It! ์žฅ๊ณ +๋ถ€ํŠธ์ŠคํŠธ๋žฉ: ํŒŒ์ด์ฌ ์›น๊ฐœ๋ฐœ์˜ ์ •์„
    • Algorithm
    • Head First Python
    • ๋ฐ์ดํ„ฐ ๋ถ„์„์„ ์œ„ํ•œ SQL
    • ๋‹จ ๋‘ ์žฅ์˜ ๋ฌธ์„œ๋กœ ๋ฐ์ดํ„ฐ ๋ถ„์„๊ณผ ์‹œ๊ฐํ™” ๋ฝ€๊ฐœ๊ธฐ
    • Linear Algebra(Khan Academy)
    • ์ธ๊ณต์ง€๋Šฅ์„ ์œ„ํ•œ ์„ ํ˜•๋Œ€์ˆ˜
    • Statistics110
  • TIL : etc
    • [๋”ฐ๋ฐฐ๋Ÿฐ] Kubernetes
    • [๋”ฐ๋ฐฐ๋Ÿฐ] Docker
    • CoinTrading
    • Gatsby
  • TIL : Project
    • Mask Wear Image Classification
    • Project. GARIGO
  • 2021 TIL
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    • JAN
  • 2020 TIL
    • DEC
    • NOV
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block-quoteOn this pagechevron-down
  1. TIL : MLchevron-right
  2. Boostcamp 2st

[U]Stage-NLP

7W Retrospectivechevron-right(10๊ฐ•) Advanced Self-supervised Pre-training Modelschevron-right(09๊ฐ•) Self-supervised Pre-training Modelschevron-right(08๊ฐ•) Transformer (2)chevron-right(07๊ฐ•) Transformer (1)chevron-right6W Retrospectivechevron-right(06๊ฐ•) Beam Search and BLEU scorechevron-right(05๊ฐ•) Sequence to Sequence with Attentionchevron-right(04๊ฐ•) LSTM and GRUchevron-right(03๊ฐ•) Recurrent Neural Network and Language Modelingchevron-right(02๊ฐ•) Word Embeddingchevron-right(01๊ฐ•) Intro to NLP, Bag-of-Wordschevron-right[ํ•„์ˆ˜ ๊ณผ์ œ 4] Preprocessing for NMT Modelchevron-right[ํ•„์ˆ˜ ๊ณผ์ œ 3] Subword-level Language Modelchevron-right[ํ•„์ˆ˜ ๊ณผ์ œ2] RNN-based Language Modelchevron-right[์„ ํƒ ๊ณผ์ œ] BERT Fine-tuning with transformerschevron-right[ํ•„์ˆ˜ ๊ณผ์ œ] Data Preprocessingchevron-right
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